Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan

R Khan, H Li, M Basir, YL Chen, MM Sajjad… - Environmental …, 2022 - Springer
Land use/land cover (LULC) changes due to urban growth on the regional scale affect land
surface temperature (LST). The present study aims to assess the LULC changes and their …

Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive …

A Jia, S Liang, D Wang, K Mallick… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Land surface temperature (LST) is crucial for understanding surface energy budgets,
hydrological cycling, and land–atmosphere interactions. However, cloud cover leads to …

All-sky 1 km MODIS land surface temperature reconstruction considering cloud effects based on machine learning

D Cho, D Bae, C Yoo, J Im, Y Lee, S Lee - Remote Sensing, 2022 - mdpi.com
A high spatio-temporal resolution land surface temperature (LST) is necessary for various
research fields because LST plays a crucial role in the energy exchange between the …

Estimation of land surface temperature from AMSR2 microwave brightness temperature using machine learning methods

W Han, SB Duan, H Tian, Y Lian - International Journal of Remote …, 2024 - Taylor & Francis
Passive microwave has been used in land surface temperature (LST) inversion because of
its all-weather availability. This paper proposed a LST retrieval method based on machine …

Systematic daytime increases in atmospheric biases linked to dry soils in irrigated areas in Indian operational forecasts

EJ Barton, CM Taylor, AK Mitra… - Atmospheric Science …, 2023 - Wiley Online Library
The representation of land–atmosphere coupling in forecast models can significantly impact
weather prediction. A previous case study in Northern India incorporating both model and …

Retrieval of cloudy land surface temperature from AMSR2 brightness temperature, precipitable water vapour and cloud liquid water

C Huang, S Zhang, W Han, X Feng… - International Journal of …, 2024 - Taylor & Francis
Land surface temperature (LST) is an important parameter in many studies including
hydrology, meteorology, and ecology. In addition to thermal infrared remote sensing …

Spatial downscaling of SMAP soil moisture estimation using multiscale geographically weighted regression during SMAPVEX16

Y Zhong, S Hong, Z Wei, JP Walker, Y Wang… - Journal of …, 2024 - Elsevier
Passive microwave remote sensing missions such as Soil Moisture Active Passive (SMAP)
are widely used for global soil moisture (SM) estimation. But the low spatial resolution of …

[HTML][HTML] 基于FY-3D 卫星的微波与光学陆表温度融合研究

刘勇洪, 翁富忠, 徐永明, 韩秀珍, 段四波, 唐世浩… - 气象, 2024 - qxqk.nmc.cn
目前还没有基于国产卫星的1 km 分辨率的全天候陆表温度(LST) 产品, FY-3D
卫星提供了中分辨率成像仪(MERSI) Ⅱ 型1 km 分辨率晴空LST 产品与微波成像仪(MWRI) 25 …

Applicability Assessment of Passive Microwave LST Downscaling over Semi–Homogeneous Desert Underlying Surface Based on Machine Learning

Y Li, Y Liu, W Huang, Y Yan, J Tan, Q He - Remote Sensing, 2023 - mdpi.com
The spatial and temporal resolution of remote sensing products in land surface temperature
(LST) studies can be improved using the downscaling method. This is a crucial area of …

All weather land surface temperature estimation by combining thermal infrared and passive microwave radiometry: a study over India

R Harod, E Rajasekaran - International Journal of Remote Sensing, 2024 - Taylor & Francis
ABSTRACT Land Surface Temperature (LST) plays a crucial role in water and energy cycle
studies. However, clouds pose a significant challenge in obtaining continuous LST time …